Abstract
Imaging of malignant tissues at early stage is a challenging problem because of higher tissue heterogeneities create clutter signature very similar to the response from tumour. This requires a powerful imaging algorithm which can perform well even when the dielectric contrast between background and target tissue is very small. Therefore, the detection of malignant breast tissues at early stage is one of the challenging problems for microwave imaging. High rate of false alarms can occur due to tissue heterogeneities which can undermine the detectable tumour response. Here, we investigate the use of time reversal (TR) microwave imaging [1] coupled with maximum likelihood (ML) estimation for the localisation of breast tissue malignancies that are embedded in a background cluttered with heterogeneous breast tissues.
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